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MATLAB Webinar: Data Analysis with MATLAB


Data Analysis with MATLAB
   

Introduction | Why Use MATLAB?Webinar Highlights 
Who Should Attend? | About The Presenter | About MATLAB
Webinar Length | Registration

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Introduction  white spacer

Introduction

Organisations as different as the Reserve Bank, Ministry of Fisheries and Tait Electronics know that MATLAB allows them to efficiently analyse and model data. Come to this seminar to see a demonstration of MATLAB as a tool for data analysis and modelling in several application areas, including electrical, environmental and financial systems.

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Question

 

 

 

 

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  Why use MATLAB?

MATLAB is a mathematical programming environment which combines an extremely easy-to-use programming language with a huge set of functions that you can call to facilitate your data analysis or model development.

It finds extensive application in many fields of engineering, most scientific disciplines, and mathematical based business areas such as econometrics and financial analysis.




Information

Who Should Attend?

 

 

 

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Overview

The general nature and scope of MATLAB and its toolboxes will be introduced first, followed by demonstrations using several kinds of data analysis problems. Particular emphasis will be made on using the more recently developed data structures within MATLAB, and on showing the powerful features of the statistics toolbox.

The seminar will show that MATLAB is an efficient environment in which to visualise the patterns in your data and to statistically summarise it.

Highlights

• The structure of the MATLAB user interface
• Importing data from Excel into various data types
• Graphing your data
• Data analysis functions in the base MATLAB
• Using the Statistics toolbox functions
• Building a program to facilitate repetitive analysis
• Documenting your work

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Who Should Attend?   Who should attend?

• Environmental scientists
• Financial analysts
• Development engineers
• Physicists
• Data Modellers
• Electrical power engineers
• Scientists not included above

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Presenter   About the Presenter

Dr Ray Hoare has degrees in mathematics, physics and chemistry and worked for many years in industrial and environmental science. For more than 20 years he has been helping people to analyse engineering, science and business data, as well as presenting seminars and training people in the use of statistical software.

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About

 

 

 

 

 

 

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About MATLAB

MATLAB is an integrated technical computing environment that combines numeric computation, advanced graphics and visualisation, and a high-level programming language.

Whatever the objective - an algorithm, analysis, graph, report, or simulation - MATLAB gets you there. The flexible, interactive MATLAB language lets engineers, scientists and business analysts express their technical ideas simply. The extensive and powerful numeric computing methods and graphics allows testing and exploring alternative ideas easily, while the integrated development environment makes it easy to produce fast, practical results.

MATLAB is used in a wide variety of areas in industry including process industries, automotive, finance and economics, biotech/pharmaceutical and education. The open architecture makes it easy to use MATLAB and companion products to explore data and create custom tools that provide early insights and competitive advantages.

Click here for more info on MATLAB.

Click here for more info on Simulink.

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Seminar Length  
Webinar Length

The webinar will run for approximately 40 minutes with time for questions. If you can not attend the webinar, email Bruce at bruce@hrs.co.nz or call 0800 477 776 to be sent an information pack or to discuss MATLAB products further.

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Register

 

 

 

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  Registration

To register for this FREE webinar click on the registration link below and fill in the form. 

Please Note: Registrations are open to those residing in NZ only and international residents wanting to attend webinars should contact their local distributor.




Location and Times

This Event is taking place at the following place(s):
Date Venue Time City





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